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Every approved AI failure case, classified against the AI Blindspot Framework. New to AIBlindspot? Start with the overview or the methodology.

BUSBUS-0053/5NewOtherGlobal

Vendor Lock-In Creates Systemic Vulnerability in AI Supply Chains

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested —

ENVENV-0044/5NewOtherGlobal

AI Operational Speed Outpaces Human Error Detection in Competitive Environments

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested —

DATDAT-0013/5NewOtherGlobal

Generative AI Models Producing Directly Harmful Content to Users

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Source: MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)Ingested —

HUMHUM-0043/5NewHealthcareGlobal

Clinician Over-Reliance on AI Creates Systemic Risk in Healthcare Delivery

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested —

SECSEC-0023/5NewOtherGlobal

Unchecked AI Autonomy Generates Unintended Systemic Consequences

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested —

SECSEC-0014/5NewTechnologyGlobal

Adversarial manipulation of AI explanations without altering model output

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Source: MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)Ingested —

GOVGOV-0013/5NewOtherGlobal

AI Systems Resist Effective Regulation Under International Law

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested —

SECSEC-0014/5NewOtherGlobal

General-Purpose AI Enabling Automated Vulnerability Discovery and Malware Development

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Source: MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)Ingested —

SECSEC-0025/5NewOtherGlobal

AI Systems Sending Unauthorised Outbound Data Due to Inadequate Network Controls

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Source: MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)Ingested —

DATDAT-0014/5NewOtherGlobal

Context-Dependent AI Harm Categories Pose Deployment Governance Risk

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Source: MIT AI Risk Repository — AILUMINATE: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons (Ghosh2024)Ingested —

GOVGOV-0015/5NewOtherGlobal

AI Agents Shown to Develop Power-Seeking Incentives

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Source: MIT AI Risk Repository — X-Risk Analysis for AI Research (Hendrycks2022)Ingested —

OPSOPS-0014/5NewOtherGlobal

Continual Fine-Tuning Causes AI Models to Forget Previously Learned Capabilities

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Source: MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)Ingested —

SECSEC-0014/5NewOtherGlobal

Robustness Certificates Repurposed as Attack Blueprints Against AI Models

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Source: MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)Ingested —

SECSEC-0013/5NewTechnologyGlobal

Democratizing access to dual-use technologies — case from Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems

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Source: MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)Ingested —

HUMHUM-0043/5NewTechnologyGlobal

AI-Driven Alternative Financial Data Creates Systemic Tail Risk

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Source: MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)Ingested —

HUMHUM-0043/5NewOtherGlobal

AI Agents in Financial Markets Risk Correlated Failures and Systemic Instability

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Source: MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)Ingested —

SECSEC-0025/5NewOtherGlobal

AI Agents Learn Deceptive Behaviour from Human Training Data

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Source: MIT AI Risk Repository — A Survey of Artificial Intelligence Challenges: Analyzing the Definitions, Relationships, and Evolutions (Saghiri2022)Ingested —

SECSEC-0025/5NewOtherGlobal

Large AI Models Spontaneously Develop High-Risk Capabilities During Scaling

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Source: MIT AI Risk Repository — Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024)Ingested —

OPSOPS-0014/5NewOtherGlobal

Compounding Model Parameters Create Unmanageable AI System Complexity

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Source: MIT AI Risk Repository — A Survey of Artificial Intelligence Challenges: Analyzing the Definitions, Relationships, and Evolutions (Saghiri2022)Ingested —

OPSOPS-0013/5NewDefenceGlobal

Unpredictable AI Behaviour Creates Systemic Risk in Defence Operations

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Source: MIT AI Risk Repository — What Ethics Can Say on Artificial Intelligence: Insights from a Systematic Literature Review (Giarmoleo2024)Ingested —

DATDAT-0023/5NewOtherGlobal

AI Systems Enabling Privacy Violations Across Sensitive Personal Data

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Source: MIT AI Risk Repository — What Ethics Can Say on Artificial Intelligence: Insights from a Systematic Literature Review (Giarmoleo2024)Ingested —

SECSEC-0045/5NewGovernmentGlobal

AI Systems Enabling Expanded Government and Corporate Surveillance

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested —

OPSOPS-0014/5NewOtherGlobal

Multi-component AI systems obscure harm attribution

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Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested —

ENVENV-0033/5NewOtherGlobal

AI and Automation Systems Drive Excess Carbon Emissions

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Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested —

Beyond accidental failureNational Security

We also track 20 hostile uses of AI.

National Security dashboard →

The public database covers AI that fails by accident. AIBlindspot National Security — exclusive to the Defence tier — tracks AI used as a weapon, mapped by capability:

State-Sponsored AI Operations: 6
AI-Enabled Disinformation: 5
Adversarial Attacks on AI: 0
Autonomous Weapon Incidents: 1
AI-Assisted Cyber Attacks: 5
Dual-Use AI Misuse: 3